Some time ago, I came across the tokenomics design of a Web3 AI project called Sentient. The overall structure is quite interesting, so I want to share some thoughts.

Sentient has launched its native token SENT, positioned as the coordination layer of the ecosystem, used to drive the underlying chain and incentive systems. The total supply is set at 34,359,738,368 tokens — this precise number is clearly carefully designed by the team, and they probably will explain it in an AMA later.

Looking at the initial distribution, 65.55% is allocated to the community, which is the core support of the entire model: 44% for community incentives and airdrops, 19.55% for ecosystem development and R&D, and only 2% for public sale. In comparison, the team holds 22%, and investors 12.45% — this ratio is relatively restrained, avoiding the common approach of giving large portions to insiders upfront.

The unlock mechanism shows a long-term perspective. For the community and ecosystem portions, 30% is unlocked at TGE, with the remaining 70% linearly released over 4 years; the airdrop tokens are fully unlocked immediately. The team tokens have a 1-year cliff, followed by 6 years of linear vesting, and investors have a similar setup — 1-year cliff plus 4 years linear. This structure clearly aims to delay internal circulation pressure and strengthen long-term commitment. The public sale tokens are fully available at TGE and are offered to the community at a relatively low FDV.

In terms of circulation logic, early circulation mainly relies on the community, ecosystem, and public sale, while team and investor unlocks are concentrated in the medium to long term. This means the early network activity is driven by genuine usage and development, not by internal dumping.

Regarding inflation, SENT has a fixed annual inflation rate of 2%, dedicated to the community incentive pool, rewarding contributions to models, data, and protocols within the ecosystem. Any unused emission quota in a year is locked and carried over to the next year, keeping inflation pressure relatively manageable.

Overall, this tokenomics model adopts a conservative and long-term approach, emphasizing genuine contributions, low short-term sell pressure, and community-driven growth. If you are optimistic about the long-term prospects of AI + Web3, this design is worth a deep dive.